nipy/nipype: 1.2. 0

KJ Gorgolewski, O Esteban, CJ Markiewicz… - …, 2019 - ui.adsabs.harvard.edu
… com/nipy/nipype/pull/2909) FIX: Import nibabel reorientation bug fix (https://github. com/nipy/nipype
com/nipy/nipype/pull/2900) FIX: Sort conditions in bids_gen_info to ensure consistent …

nipy/nipype: 1.7. 0

O Esteban, CJ Markiewicz, C Burns, M Goncalves… - …, 2021 - ui.adsabs.harvard.edu
… ://github.com/nipy/nipype/pull/3393) FIX: coord for mrconvert (https://github.com/nipy/nipype/pull/…
to be float (https://github.com/nipy/nipype/pull/3387) FIX: Also allow errno.EBUSY during …

nipy/nipype: 1.3. 0-rc1

O Esteban, CJ Markiewicz, D Jarecka, E Ziegler… - …, 2019 - ui.adsabs.harvard.edu
… /nipy/nipype/pull/3071) FIX: Remove asynchronous chdir callback (https://github.com/nipy/nipype/…
results file (https://github.com/nipy/nipype/pull/3061) ENH: Add precommit information …

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13. 1

KJ Gorgolewski, O Esteban, D Gage Ellis… - …, 2017 - ui.adsabs.harvard.edu
… com/nipy/nipype/pull/2017) ENH: Update some minimum versions in compliance … /nipy/nipype/pull/2017)
ENH: Circle builds use cached docker layers (https://github. com/nipy/nipype/…

nipy/nipype: 1.5. 1

O Esteban, CJ Markiewicz, C Burns, M Goncalves… - …, 2020 - ui.adsabs.harvard.edu
1.5. 1 (August 16, 2020) Bug-fix release in the 1.5. x series. This release includes small
updates to ANTs utilities that lie somewhere between bug fixes and enhancements.(Full …

nipy/nipype: 1.1. 6

KJ Gorgolewski, O Esteban, CJ Markiewicz… - …, 2018 - ui.adsabs.harvard.edu
… com/nipy/nipype/pull/2780)[ENH] Add mp_context plugin arg for MultiProc (https://github.
com/nipy/nipype/pull/2778)[ENH] Create a crashfile even if'stop_on_first_crash'is set (https://…

A data resource from concurrent intracranial stimulation and functional MRI of the human brain

WH Thompson, R Nair, H Oya, O Esteban, JM Shine… - Scientific data, 2020 - nature.com
Mapping the causal effects of one brain region on another is a challenging problem in
neuroscience that we approached through invasive direct manipulation of brain function together …

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration

G Lioi, C Cury, L Perronnet, M Mano, E Bannier… - Scientific data, 2020 - nature.com
Combining EEG and fMRI allows for integration of fine spatial and accurate temporal resolution
yet presents numerous challenges, noticeably if performed in real-time to implement a …

[HTML][HTML] Consciousness and the dimensionality of DOC patients via the generalized ising model

PM Abeyasinghe, M Aiello, ES Nichols… - Journal of clinical …, 2020 - mdpi.com
The data from patients with severe brain injuries show complex brain functions. Due to the
difficulties associated with these complex data, computational modeling is an especially …

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

G Lioi, C Cury, L Perronnet, M Mano, E Bannier… - bioRxiv, 2019 - biorxiv.org
Combining EEG and fMRI allows for integration of fine spatial and accurate temporal resolution
yet presents numerous challenges, noticeably if performed in real-time to implement a …